Abstract
A central aspect of HCONE-merge is the mapping of ontology concepts to a hidden intermediate ontology by uncovering the intended meaning of concepts. Such a mapping is realized by a semantic morphism from ontology concepts to WordNet senses. Extending methods that have already been proposed, this paper proposes an iterative algorithm for approximating the intended meanings of ontology concepts in a fully automated way. Results from numerous experiments are thoroughly described and conclusions are drawn.
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Vouros, G.A., Kotis, K. (2005). Extending HCONE-Merge by Approximating the Intended Meaning of Ontology Concepts Iteratively. In: Gómez-Pérez, A., Euzenat, J. (eds) The Semantic Web: Research and Applications. ESWC 2005. Lecture Notes in Computer Science, vol 3532. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11431053_14
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DOI: https://doi.org/10.1007/11431053_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26124-7
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